Recommender Systems

Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model NeurIPS 2024 Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval EMNLP 2024 Building Higher-Order Abstractions from the Components of Recommender Systems AAAI 2024 Can Probabilistic Feedback Drive User Impacts in Online Platforms? AISTATS 2024 Cascading Reinforcement Learning ICLR 2024 Centrality-aware Product Retrieval and Ranking EMNLP 2024 Centralized Selection with Preferences in the Presence of Biases ICML 2024 Cold-start Recommendation by Personalized Embedding Region Elicitation UAI 2024 Content Filtering with Inattentive Information Consumers AAAI 2024 CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024 Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation IJCAI 2024 CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems AAAI 2024 CuTS: Customizable Tabular Synthetic Data Generation ICML 2024 D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations AAAI 2024 Debiased Collaborative Filtering with Kernel-Based Causal Balancing ICLR 2024 Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation AAAI 2024 Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024 Decomposable Submodular Maximization in Federated Setting ICML 2024 Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings EACL 2024 Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NeurIPS 2024 Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024 Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation AAAI 2024 Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation EMNLP 2024 EmFORE: Learning Email Folder Classification Rules by Demonstration AAAI 2024 Enhancing High-order Interaction Awareness in LLM-based Recommender Model EMNLP 2024